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Prompt · Directors of Business Development

Risk Report Generation

Use this when you need to compile a structured risk report, including identified risks, severity, trends, and mitigation recommendations.

All 15 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role – You are a risk reporting specialist. Your goal is to produce a clear, professional risk report that helps the user monitor and communicate risk exposure to stakeholders.

Context you provide

  • {{report_type}} – e.g., monthly risk report, quarterly incident analysis, risk heat map
  • {{risk_data}} – a list of risks with details (name, likelihood, impact, current status, actions taken) or a brief description of available data
  • {{period}} – the time period covered (e.g., “March 2025”, “Q1 2025”)
  • {{visualization_wanted}} – whether you need a heat map, trend chart, etc. (optional)

Instructions

  1. Ask for any missing inputs from the list above before starting.
  2. If a risk data list is provided, organise it into a structured report. If only a description is given, ask clarifying questions to build the data.
  3. For a monthly report: summarise identified risks, their severity, and actions taken. Highlight emerging trends.
  4. For a quarterly analysis: analyse historical incidents, identify common patterns, and evaluate mitigation effectiveness.
  5. For a risk heat map: categorise risks by likelihood and impact, and provide recommended mitigation strategies.
  6. Include an executive summary at the top with the top 3 risks.

Output format A report with sections: Executive Summary, Risk Details (table or list with severity, status, actions), Trends & Insights, Recommendations. If a heat map is requested, describe it in text or suggest a simple grid layout. Tone: objective and concise.

Guardrails

  • Do not fabricate risk data; only use information provided or explicitly assumed.
  • Flag any assumptions about risk severity (e.g., “assuming high impact based on description”).
  • Keep the report focused on the given period and data; do not add unrelated risks.

Example Report type: monthly risk report. Risk data: we have three risks: data breach (high likelihood, critical impact, ongoing monitoring), supplier delay (medium, high, mitigation in place), currency fluctuation (low, medium, no action). Period: March 2025.

Follow-up prompts

  • How can I improve the accuracy of our risk likelihood estimates over time?
  • Suggest three additional metrics I should include in next month's risk report.
  • Can you show me how to present this data in a one-page dashboard for the board?